Akademik Veri Yönetim Sistemi
AI Deployment and Adoption in Public Administration and Organizations, Gamze Sart,Funda Hatice Sezgin, Editör, IGI Global yayınevi, New York, ss.1-2, 2025
Istanbul, hosting millions of tourists annually, faces significant air pollution challenges, impacting both health and climate. The Air Quality Index (AQI) is vital for assessing pollution and its health effects. This study predicts AQI levels in Istanbul using machine learning models (XGBoost and ANN), focusing on pollutants like PM10, NO2, CO, SO2, and O3, with data from 2021-2023. Ensemble methods incorporating meteorological data (temperature, pressure, wind) improved accuracy. Forecasted AQI levels range from "good" to "hazardous," offering actionable insights. The models achieved low error rates, underscoring their effectiveness in supporting air quality management and sustainable health policies through reliable AQI predictions.